{"id":"W4296673619","doi":"10.56373/2009-10-5","title":"Implantatbehandling i atrofiske overkjever rekonstruert med hoftebenstransplantat","year":2009,"lang":"en","type":"article","venue":"˜Den œNorske tannlegeforenings tidende","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008079284,0.0003401481,0.0003124612,0.0003603957,0.0002073047,0.0007049234,0.0003890993,0.0003503723,0.03386306],"category_scores_gemma":[0.001634719,0.0001386593,0.0002738156,0.0002751726,0.0002699163,0.0003275019,0.0003950709,0.0004764923,0.005735977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003075595,"about_ca_system_score_gemma":0.000532678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000951121,"about_ca_topic_score_gemma":0.001137306,"domain_scores_codex":[0.9996836,0.00007138831,0.00006856395,0.00003131056,0.00009905397,0.00004611479],"domain_scores_gemma":[0.9993462,0.0003360358,0.0001391118,0.00002429346,0.00008705153,0.00006719845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.003264388,0.0009150397,0.02330098,0.006069408,0.0001856978,0.009200901,0.001757898,0.000544683,0.01389198,0.001683136,0.08224531,0.8569406],"study_design_scores_gemma":[0.0002995252,0.003088434,0.07630351,0.004511801,0.0003015191,0.02822082,0.00197132,0.0004301926,0.005930634,0.001636566,0.8772403,0.00006537823],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3543532,0.5456356,0.004295662,0.007607979,0.01240369,0.0003478574,0.002412327,0.0001664057,0.07277735],"genre_scores_gemma":[0.5152696,0.3059907,0.005424097,0.003937949,0.004859157,0.0004268959,0.002888814,0.0002915605,0.1609113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03386306,"threshold_uncertainty_score":0.1132832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202319961285767,"score_gpt":0.27578912136686,"score_spread":0.2637659217540023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}